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Biostatistics: Perspective in Health Care Paperback
1. Health Surveys. K.Raghav Prasad 2. Sample size determination Sheela Taiwalkar 3. Measuring morbidity from pulmonary tuberculosis KB. Gauzam 4. Methods of mortality data analysis. S. Mukerji and S. Lahiri 5. Path coefficient analysis in medicine. V.G. Kaliaperwnal and N. Sundararaj 6. Categorization of health data and their analysis. A. Indrayan 7. Discrete response analysis in population control: an application of branching process. Bandyopadhyay 8. Survival analysis in clinical data Samir K. Bhattacharya 9. Discriminant analysis in medical diagnosis. T. Krishnan 10. Statistical modelling in health and disease. B.L. Verma 11. Operations research in health care Y.P. Gupta 12. Methods of monitoring, assessment and evaluation of health programmes.
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Multiple Imputation and its Application
Collecting, analysing and drawing inferences from data is central to research in the medical and social sciences. Unfortunately, it is rarely possible to collect all the intended data. The literature on inference from the resulting incomplete data is now huge, and continues to grow both as methods are developed for large and complex data structures, and as increasing computer power and suitable software enable researchers to apply these methods.
This book focuses on a particular statistical method for analysing and drawing inferences from incomplete data, called Multiple Imputation (MI). MI is attractive because it is both practical and widely applicable. The authors aim is to clarify the issues raised by missing data, describing the rationale for MI, the relationship between the various imputation models and associated algorithms and its application to increasingly …